Mac mini (2024)
Geekbench AI Score
4838
Single Precision Score
37472
Half Precision Score
51618
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 04:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
18684
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
25457
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21906
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28703
465.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123371
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232531
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
18533
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26300
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
44757
531.8 IPS |
|
|
Face Detection (Q)
|
100% |
57151
679.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8719
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99063
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167650
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21827
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233481
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299715
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49666
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84310
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6573
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6723
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17263
297.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18463
319.1 IPS |
